Instructions to use YaHi/teacher_electra_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YaHi/teacher_electra_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YaHi/teacher_electra_small")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YaHi/teacher_electra_small") model = AutoModelForSequenceClassification.from_pretrained("YaHi/teacher_electra_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from YaHi/teacher_electra_small: direct link, hf CLI and curl.
- Browser
- Download file 4.47 kB
-
https://huggingface.co/YaHi/teacher_electra_small/resolve/main/training_args.bin
- Command line
-
hf download hf://YaHi/teacher_electra_small/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/YaHi/teacher_electra_small/resolve/main/training_args.bin
4.47 kB
- Xet hash:
- f0bff82af9ce56b3a08d146c53690df15405d18fbf747a867fd7c41dc50501af
- Size of remote file:
- 4.47 kB
- SHA256:
- 3107e40b3394f57e5b5d153c4048a9abc9d3a4bda880b45a21e1b857715a183f
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